Practical Digital Image Processing
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Practical Digital Image Processing
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Author : Rhys Lewis
language : en
Publisher: Prentice Hall
Release Date : 1990
Practical Digital Image Processing written by Rhys Lewis and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
Aims to bridge a gap between introductory texts on image processing and more specialist works which contain considerable amounts of complex mathematics. Emphasis is placed on the selection and use of techniques rather than their implementation.
Digital Image Processing
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Author : Nick Efford
language : en
Publisher: Addison Wesley Publishing Company
Release Date : 2000
Digital Image Processing written by Nick Efford and has been published by Addison Wesley Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.
CD-ROM contains Java classes for use in developing image processing software as well as completed image processing software.
Fundamentals Of Digital Image Processing
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Author : Chris Solomon
language : en
Publisher: John Wiley & Sons
Release Date : 2011-07-05
Fundamentals Of Digital Image Processing written by Chris Solomon and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-05 with Science categories.
This is an introductory to intermediate level text on the science of image processing, which employs the Matlab programming language to illustrate some of the elementary, key concepts in modern image processing and pattern recognition. The approach taken is essentially practical and the book offers a framework within which the concepts can be understood by a series of well chosen examples, exercises and computer experiments, drawing on specific examples from within science, medicine and engineering. Clearly divided into eleven distinct chapters, the book begins with a fast-start introduction to image processing to enhance the accessibility of later topics. Subsequent chapters offer increasingly advanced discussion of topics involving more challenging concepts, with the final chapter looking at the application of automated image classification (with Matlab examples) . Matlab is frequently used in the book as a tool for demonstrations, conducting experiments and for solving problems, as it is both ideally suited to this role and is widely available. Prior experience of Matlab is not required and those without access to Matlab can still benefit from the independent presentation of topics and numerous examples. Features a companion website www.wiley.com/go/solomon/fundamentals containing a Matlab fast-start primer, further exercises, examples, instructor resources and accessibility to all files corresponding to the examples and exercises within the book itself. Includes numerous examples, graded exercises and computer experiments to support both students and instructors alike.
Practical Digital Image Processing
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Author : Rhys Lewis
language : en
Publisher: Prentice Hall
Release Date : 1990
Practical Digital Image Processing written by Rhys Lewis and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
Aims to bridge a gap between introductory texts on image processing and more specialist works which contain considerable amounts of complex mathematics. Emphasis is placed on the selection and use of techniques rather than their implementation.
Digital Image Processing Practical Approach
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Author : Borko Furht
language : en
Publisher: Springer
Release Date : 2018-08-28
Digital Image Processing Practical Approach written by Borko Furht and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-28 with Computers categories.
The SpringerBrief covers fundamentals of digital image processing including image concept, image file formats, creating user interfaces and many practical examples of processing images using C++ and Java. These practical examples include among other creating image histograms, performing lossless image compression, detecting change in colors, similarity-based image retrieval and others. All practical examples are accompanied with an explanation how to create programs and the obtained results. This SpringerBrief can be very useful for the undergraduate courses on image processing, providing students with the basic tools in image analysis and processing. Practitioners and researchers working in this field will also find this research useful.
Digital Image Processing Mcq Multiple Choice Questions
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Author : Arshad Iqbal
language : en
Publisher: Bushra Arshad
Release Date : 2019-06-13
Digital Image Processing Mcq Multiple Choice Questions written by Arshad Iqbal and has been published by Bushra Arshad this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-13 with Computers categories.
The Digital Image Processing Multiple Choice Questions (MCQ Quiz) with Answers PDF (Image Processing MCQ PDF Download): Quiz Questions Chapter 1-10 & Practice Tests with Answer Key (Digital Image Questions Bank, MCQs & Notes) includes revision guide for problem solving with hundreds of solved MCQs. Digital Image Processing MCQ with Answers PDF book covers basic concepts, analytical and practical assessment tests. "Digital Image Processing MCQ" PDF book helps to practice test questions from exam prep notes. The Digital Image Processing MCQs with Answers PDF eBook includes revision guide with verbal, quantitative, and analytical past papers, solved MCQs. Digital Image Processing Multiple Choice Questions and Answers (MCQs) PDF: Free download chapter 1, a book covers solved quiz questions and answers on chapters: Digital image fundamentals, color image processing, filtering in frequency domain, image compression, image restoration and reconstruction, image segmentation, intensity transformation, spatial filtering, introduction to digital image processing, morphological image processing, wavelet, multi-resolution processing tests for college and university revision guide. Digital Image Processing Quiz Questions and Answers PDF, free download eBook’s sample covers beginner's solved questions, textbook's study notes to practice online tests. The book Digital Image Processing MCQs Chapter 1-10 PDF includes high school question papers to review practice tests for exams. Digital Image Processing Multiple Choice Questions (MCQ) with Answers PDF digital edition eBook, a study guide with textbook chapters' tests for NEET/Jobs/Entry Level competitive exam. Digital Image Processing Mock Tests Chapter 1-10 eBook covers problem solving exam tests from computer science textbook and practical eBook chapter wise as: Chapter 1: Color Image Processing MCQ Chapter 2: Digital Image Fundamentals MCQ Chapter 3: Filtering in Frequency Domain MCQ Chapter 4: Image Compression MCQ Chapter 5: Image Restoration and Reconstruction MCQ Chapter 6: Image Segmentation MCQ Chapter 7: Intensity Transformation and Spatial Filtering MCQ Chapter 8: Introduction to Digital Image Processing MCQ Chapter 9: Morphological Image Processing MCQ Chapter 10: Wavelet and Multiresolution Processing MCQ The Color Image Processing MCQ PDF e-Book: Chapter 1 practice test to solve MCQ questions on Basics of full color image processing, color fundamentals in color image processing, color models, color transformation, pseudo color image processing, smoothing, and sharpening. The Digital Image Fundamentals MCQ PDF e-Book: Chapter 2 practice test to solve MCQ questions on Representing digital image, elements of visual perception, image interpolation, image sampling and quantization, image sensing and acquisition, light and electromagnetic spectrum, simple image formation model, spatial and intensity resolution. The Filtering in Frequency Domain MCQ PDF e-Book: Chapter 3 practice test to solve MCQ questions on Basics of filtering in frequency domain, filtering concepts, 10d discrete Fourier transform, background of intensity transformation, convolution, discrete Fourier transform of one variable, extension to functions of two variables, image interpolation and resampling, preliminary concepts, properties of 10d DFT, sampling, and Fourier transform of sampled function. The Image Compression MCQ PDF e-Book: Chapter 4 practice test to solve MCQ questions on Fundamentals of image compression, image compression models, image compression techniques, coding redundancy, fidelity criteria, image compressors, and measuring image information. The Image Restoration and Reconstruction MCQ PDF e-Book: Chapter 5 practice test to solve MCQ questions on Model of image restoration process, image reconstruction from projections, constrained least squares filtering, convolution, estimating degradation function, geometric mean filter, image processing algorithms, inverse filtering, linear position invariant degradations, minimum mean square error filtering, noise models, periodic noise reduction using frequency domain filtering, and restoration in presence of noise. The Image Segmentation MCQ PDF e-Book: Chapter 6 practice test to solve MCQ questions on Fundamentals of image segmentation, image processing algorithms, edge models in image segmentation, edge detection in image processing, edge detection in segmentation, edge models, line detection in digital image processing, line detection in image segmentation, point line and edge detection, and preview in image segmentation. The Intensity Transformation and Spatial Filtering MCQ PDF e-Book: Chapter 7 practice test to solve MCQ questions on Background of intensity transformation, fundamentals of spatial filtering, basic intensity transformations functions, bit plane slicing, contrast stretching, examples in intensity transformation, histogram equalization, histogram matching, histogram processing, image negatives, intensity level slicing, local histogram processing, log transformation, piecewise linear transformation functions, power law transformation, smoothing spatial filters, spatial correlation, and convolution. The Introduction to Digital Image Processing MCQ PDF e-Book: Chapter 8 practice test to solve MCQ questions on Origin of digital image processing, fundamental steps in digital image processing, example of using image processing, examples of using modalities, gamma rays imaging, imaging in a radio wave, imaging in microwave band, imaging in ultraviolet band, imaging in visible and infrared band, and x-ray imaging. The Morphological Image Processing MCQ PDF e-Book: Chapter 9 practice test to solve MCQ questions on Morphological image processing basics, preliminaries in morphological image processing, erosion and dilation, hit or miss transformation, image erosion, morphological analysis, and morphological opening closing. The Wavelet and Multiresolution Processing MCQ PDF e-Book: Chapter 10 practice test to solve MCQ questions on Introduction to wavelet and multiresolution processing, multiresolution expansions, and wavelet transforms in one dimension.
Digital Image Processing With C
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Author : David Tschumperle
language : en
Publisher: CRC Press
Release Date : 2023-03-17
Digital Image Processing With C written by David Tschumperle and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-17 with Computers categories.
Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library presents the theory of digital image processing and implementations of algorithms using a dedicated library. Processing a digital image means transforming its content (denoising, stylizing, etc.), or extracting information to solve a given problem (object recognition, measurement, motion estimation, etc.). This book presents the mathematical theories underlying digital image processing, as well as their practical implementation through examples of algorithms implemented in the C++ language using the free and easy-to-use CImg library. Chapters cover the field of digital image processing in a broad way and propose practical and functional implementations of each method theoretically described. The main topics covered include filtering in spatial and frequency domains, mathematical morphology, feature extraction and applications to segmentation, motion estimation, multispectral image processing and 3D visualization. Students or developers wishing to discover or specialize in this discipline and teachers and researchers hoping to quickly prototype new algorithms or develop courses will all find in this book material to discover image processing or deepen their knowledge in this field.
Digital Image Processing Using Matlab
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Author : Rafael C. Gonzalez
language : en
Publisher: Prentice Hall
Release Date : 2004
Digital Image Processing Using Matlab written by Rafael C. Gonzalez and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
Solutions to problems in the field of digital image processing generally require extensive experimental work involving software simulation and testing with large sets of sample images. Although algorithm development typically is based on theoretical underpinnings, the actual implementation of these algorithms almost always requires parameter estimation and, frequently, algorithm revision and comparison of candidate solutions. Thus, selection of a flexible, comprehensive, and well-documented software development environment is a key factor that has important implications in the cost, development time, and portability of image processing solutions. In spite of its importance, surprisingly little has been written on this aspect of the field in the form of textbook material dealing with both theoretical principles and software implementation of digital image processing concepts. This book was written for just this purpose. Its main objective is to provide a foundation for implementing image processing algorithms using modern software tools. A complementary objective was to prepare a book that is self-contained and easily readable by individuals with a basic background in digital image processing, mathematical analysis, and computer programming, all at a level typical of that found in a junior/senior curriculum in a technical discipline. Rudimentary knowledge of MATLAB also is desirable. To achieve these objectives, we felt that two key ingredients were needed. The first was to select image processing material that is representative of material covered in a formal course of instruction in this field. The second was to select software tools that are well supported and documented, and which have a wide range of applications in the "real" world. To meet the first objective, most of the theoretical concepts in the following chapters were selected fromDigital Image Processingby Gonzalez and Woods, which has been the choice introductory textbook used by educators all over the world for over two decades. The software tools selected are from the MATLAB Image Processing Toolbox (IPT), which similarly occupies a position of eminence in both education and industrial applications. A basic strategy followed in the preparation of the book was to provide a seamless integration of well-established theoretical concepts and their implementation using state-of-the-art software tools. The book is organized along the same lines asDigital Image Processing.In this way, the reader has easy access to a more detailed treatment of all the image processing concepts discussed here, as well as an up-to-date set of references for further reading. Following this approach made it possible to present theoretical material in a succinct manner and thus we were able to maintain a focus on the software implementation aspects of image processing problem solutions. Because it works in the MATLAB computing environment, the Image Processing Toolbox offers some significant advantages, not only f in the breadth of its computational tools, but also because it is supported under most operating systems in use today. A unique feature of this book is its emphasis on showing how to develop new code to enhance existing MATLAB and IPT functionality This is an important feature in an area such as image processing, which, as noted earlier, is characterized by the need for extensive algorithm development and experimental work. After an introduction to the fundamentals of MATLAB functions and programming, the book proceeds to address the mainstream areas of image processing. The major areas covered include intensity transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, region and boundary representation and description, and object recognition. This material is complemented by numerous illustrations of how to solve image processing problems using MATLAB and IPT functions. In cases where a function did not exist, a new function was written and documented as part of the instructional focus of the book. Over 60 new functions are included in the following chapters. These functions increase the scope of IPT by approximately 35 percent and also serve the important purpose of further illustrating how to implement new image processing software solutions. The material is presented in textbook format, not as a software manual. Although the book is self-contained, we have established a companion Web site (see Section 1.5) designed to provide support in a number of areas. For students following a formal course of study or individuals embarked on a program of self study, the site contains tutorials and reviews on background material, as well as projects and image databases, including all images in the book. For instructors, the site contains classroom presentation materials that include PowerPoint slides of all the images and graphics used in the book. Individuals already familiar with image processing and IPT fundamentals will find the site a useful place for up-to-date references, new implementation techniques, and a host of other support material not easily found elsewhere. All purchasers of the book are eligible to download executable files of all the new functions developed in the text. As is true of most writing efforts of this nature, progress continues after work on the manuscript stops. For this reason, we devoted significant effort to the selection of material that we believe is fundamental, and whose value is likely to remain applicable in a rapidly evolving body of knowledge. We trust that readers of the book will benefit from this effort and thus find the material timely and useful in their work.
Digital Image Processing Practical Implementation With Matlab
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Author : Dr. A Chrispin Jiji
language : en
Publisher: Booksclinic Publishing
Release Date : 2023-12-30
Digital Image Processing Practical Implementation With Matlab written by Dr. A Chrispin Jiji and has been published by Booksclinic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-30 with Computers categories.
The book Digital Image Processing Practical Implementation with MATLAB is strictly based on the syllabus prescribed by V.T.U., mainly for the students of 7TH semester B.E. (Electronics and Communication Engineering and Telecommunication Engineering). It covers the theoretical and implementation using MATLAB This book deals with 5 Modules: The first module deals with the fundamentals of Digital Image Processing. The second module gives detailed information about Image Enhancement. The third module deals with the methods of Image Restoration. The fourth module gives detailed information about color, wavelet and Morphological image Processing. The fifth module deals with Segmentation, Representation and Description.
Digital Image Processing
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Author : D. Sundararajan
language : en
Publisher: Springer
Release Date : 2017-10-12
Digital Image Processing written by D. Sundararajan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-12 with Computers categories.
This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn. It is written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs for the implementation of image processing algorithms. The book also offers comprehensive coverage of the following topics: Enhancement, Transform processing, Restoration, Registration, Reconstruction from projections, Morphological image processing, Edge detection, Object representation and classification, Compression, and Color processing.